metadata
base_model: google/gemma-2-2b-it
datasets:
- GaetanMichelet/chat-60_ft_task-3
library_name: peft
license: gemma
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
model-index:
- name: Gemma-2-2B_task-3_60-samples_config-1
results: []
Gemma-2-2B_task-3_60-samples_config-1
This model is a fine-tuned version of google/gemma-2-2b-it on the GaetanMichelet/chat-60_ft_task-3 dataset. It achieves the following results on the evaluation set:
- Loss: 0.4227
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 8
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 50
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.2369 | 0.8696 | 5 | 3.1359 |
| 2.5226 | 1.9130 | 11 | 1.7106 |
| 1.1016 | 2.9565 | 17 | 0.7912 |
| 0.45 | 4.0 | 23 | 0.5232 |
| 0.3492 | 4.8696 | 28 | 0.4661 |
| 0.2407 | 5.9130 | 34 | 0.4271 |
| 0.2032 | 6.9565 | 40 | 0.4227 |
| 0.2575 | 8.0 | 46 | 0.4339 |
| 0.1486 | 8.8696 | 51 | 0.4843 |
| 0.0961 | 9.9130 | 57 | 0.5847 |
| 0.0285 | 10.9565 | 63 | 0.7613 |
| 0.0231 | 12.0 | 69 | 0.8747 |
| 0.0118 | 12.8696 | 74 | 0.9379 |
| 0.0095 | 13.9130 | 80 | 1.0329 |
Framework versions
- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.1.2+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1